摘要
为满足智慧城轨的发展需求,文章对城市轨道车辆客室侧门的智能运维平台方案进行了研究,重点阐述了平台系统架构的组成以及各主要功能模块的设计与实现。通过集成先进的数据采集、物联网、大数据分析、故障诊断及智能预测等技术,实现了城市轨道车辆客室侧门系统的实时监控、故障诊断、亚健康预测、维护提醒和优化操作等功能。针对平台功能的实现与优化提出了有效的数据处理方案、经验与理论相结合的故障诊断模型以及物理信息与数据信息相结合的亚健康预测模型等。研究结果表明:该智能运维平台实现了远程监控和风险预警,既减少了安全事故的发生,又有效提升了城市轨道车辆客室侧门系统的可靠性和运营效率,为业主和用户提供了更加高效、安全、环保的服务。
To meet the development requirements of intelligent urban rail transit,this paper investigates a smart operation and maintenance platform for passenger compartment side doors in urban rail vehicles.It elaborates on the platform's system architecture and the design and implementation of its key functional modules.By integrating advanced technologies such as data acquisition,the Internet of Things(IoT),big data analytics,fault diagnosis,and intelligent prediction,the platform enables real-time monitoring,fault diagnosis,sub-health prediction,maintenance alerts,and operational optimization for the side door system.Effective data processing solutions are proposed,along with a fault diagnosis model that combines empirical and theoretical approaches,and a sub-health prediction model that integrates physical and data information.Research results demonstrate that the platform facilitates remote monitoring and risk early warning,which not only reduces safety incidents but also significantly enhances the reliability and operational efficiency of the urban rail vehicle side door system,providing owners and users with more efficient,safe,and environmentally friendly services.
作者
李大伟
肖义
王宝星
李锦辉
王飞
LI Dawei;XIAO Yi;WANG Baoxing;LI Jinhui;WANG Fei(Ningbo Urban Railway Investment and Development Co.,Ltd.,Ningbo 315000,China;Ningbo CRRC Times Electric Equipment Co.,Ltd.,Ningbo 315000,China)
出处
《智慧轨道交通》
2026年第1期43-49,共7页
INTELLIGENT RAIL TRANSIT
关键词
城市轨道车辆
客室侧门
物联网
大数据分析
故障诊断
智能预测
urban rail vehicle
passenger compartment side doors
Internet of Things(IoT)
big data analytics
fault diagnosis
intelligent prediction
